IDEAS home Printed from https://ideas.repec.org/p/ags/dgiarr/251942.html
   My bibliography  Save this paper

An Annual Planning Model for Food Processing: An Example of the Tomato Industry

Author

Listed:
  • Logan, Samuel H.

Abstract

No abstract is available for this item.

Suggested Citation

  • Logan, Samuel H., 1984. "An Annual Planning Model for Food Processing: An Example of the Tomato Industry," Research Reports 251942, University of California, Davis, Giannini Foundation.
  • Handle: RePEc:ags:dgiarr:251942
    DOI: 10.22004/ag.econ.251942
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/251942/files/332.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.251942?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Charles C. Holt & Franco Modigliani & Herbert A. Simon, 1955. "A Linear Decision Rule for Production and Employment Scheduling," Management Science, INFORMS, vol. 2(1), pages 1-30, October.
    2. Edward H. Bowman, 1956. "Production Scheduling by the Transportation Method of Linear Programming," Operations Research, INFORMS, vol. 4(1), pages 100-103, February.
    3. William H. Taubert, 1968. "A Search Decision Rule for the Aggregate Scheduling Problem," Management Science, INFORMS, vol. 14(6), pages 343-359, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Durham, Catherine A. & Sexton, Richard J. & Song, Joo Ho, 1995. "Transportation and Marketing Efficiency in the California Processing Tomato Industry," Research Reports 11923, University of California, Davis, Giannini Foundation.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gomes da Silva, Carlos & Figueira, José & Lisboa, João & Barman, Samir, 2006. "An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming," Omega, Elsevier, vol. 34(2), pages 167-177, April.
    2. Wang, Reay-Chen & Liang, Tien-Fu, 2005. "Applying possibilistic linear programming to aggregate production planning," International Journal of Production Economics, Elsevier, vol. 98(3), pages 328-341, December.
    3. Shih-Pin Chen & Wen-Lung Huang, 2014. "Solving Fuzzy Multiproduct Aggregate Production Planning Problems Based on Extension Principle," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2014, pages 1-18, August.
    4. Buxey, Geoff, 2003. "Strategy not tactics drives aggregate planning," International Journal of Production Economics, Elsevier, vol. 85(3), pages 331-346, September.
    5. Wu, Chia-Chin & Chang, Ni-Bin, 2004. "Corporate optimal production planning with varying environmental costs: A grey compromise programming approach," European Journal of Operational Research, Elsevier, vol. 155(1), pages 68-95, May.
    6. Edgardo Bucciarelli & Nicola Mattoscio, 2021. "Reconsidering Herbert A. Simon’s Major Themes in Economics: Towards an Experimentally Grounded Capital Structure Theory Drawing from His Methodological Conjectures," Computational Economics, Springer;Society for Computational Economics, vol. 57(3), pages 799-823, March.
    7. Saravanan Kesavan & Susan J. Lambert & Joan C. Williams & Pradeep K. Pendem, 2022. "Doing Well by Doing Good: Improving Retail Store Performance with Responsible Scheduling Practices at the Gap, Inc," Management Science, INFORMS, vol. 68(11), pages 7818-7836, November.
    8. Jean-Bernard Chatelain & Kirsten Ralf, 2020. "How macroeconomists lost control of stabilization policy: towards dark ages," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 27(6), pages 938-982, November.
    9. Vermeulen, Ben & Pyka, Andreas, 2016. "Agent-based modeling for decision making in economics under uncertainty," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-33.
    10. Yongjian Li & Jian Chen & Xiaoqiang Cai, 2007. "An integrated staff-sizing approach considering feasibility of scheduling decision," Annals of Operations Research, Springer, vol. 155(1), pages 361-390, November.
    11. Marshall Fisher, 2007. "Strengthening the Empirical Base of Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 368-382, December.
    12. Corominas, Albert & Lusa, Amaia & Olivella, Jordi, 2012. "A detailed workforce planning model including non-linear dependence of capacity on the size of the staff and cash management," European Journal of Operational Research, Elsevier, vol. 216(2), pages 445-458.
    13. Donya Rahmani & Arash Zandi & Sara Behdad & Arezou Entezaminia, 2021. "A light robust model for aggregate production planning with consideration of environmental impacts of machines," Operational Research, Springer, vol. 21(1), pages 273-297, March.
    14. Singhal, Jaya & Singhal, Kalyan, 1996. "Alternate approaches to solving the Holt et al. model and to performing sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 91(1), pages 89-98, May.
    15. Hax, Arnoldo C. & Meal, Harlan C., 1973. "Hierarchical integration of production planning and scheduling," Working papers 656-73., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    16. Suresh P. Sethi & Sushil Gupta & Vipin K. Agrawal & Vijay K. Agrawal, 2022. "Nobel laureates’ contributions to and impacts on operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4283-4303, December.
    17. Judy L Klein, 2015. "The Cold War Hot House for Modeling Strategies at the Carnegie Institute of Technology," Working Papers Series 19, Institute for New Economic Thinking.
    18. Nazare, Felipe & Street, Alexandre, 2023. "Solving multistage stochastic linear programming via regularized linear decision rules: An application to hydrothermal dispatch planning," European Journal of Operational Research, Elsevier, vol. 309(1), pages 345-358.
    19. Mie Augier & Michael Prietula, 2007. "Perspective---Historical Roots of the A Behavioral Theory of the Firm Model at GSIA," Organization Science, INFORMS, vol. 18(3), pages 507-522, June.
    20. Kyle E. Binder & James W. Mjelde, 2017. "Fuel inventory and price relationships in the U.S. electric power sector under regulatory and market change," Journal of Regulatory Economics, Springer, vol. 51(2), pages 197-219, April.

    More about this item

    Keywords

    Crop Production/Industries;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:dgiarr:251942. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/daucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.